Decoding the perception of pain from fMRI using multivariate pattern analysis.
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Decoding the perception of pain from fMRI using multivariate pattern analysis. / Brodersen, Kay H; Wiech, Katja; Lomakina, Ekaterina I; Lin, Chia-Shu; Buhmann, Joachim M; Bingel, Ulrike; Ploner, Markus; Stephan, Klaas Enno; Tracey, Irene.
in: NEUROIMAGE, Jahrgang 63, Nr. 3, 3, 2012, S. 1162-1170.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Decoding the perception of pain from fMRI using multivariate pattern analysis.
AU - Brodersen, Kay H
AU - Wiech, Katja
AU - Lomakina, Ekaterina I
AU - Lin, Chia-Shu
AU - Buhmann, Joachim M
AU - Bingel, Ulrike
AU - Ploner, Markus
AU - Stephan, Klaas Enno
AU - Tracey, Irene
PY - 2012
Y1 - 2012
N2 - Pain is known to comprise sensory, cognitive, and affective aspects. Despite numerous previous fMRI studies, however, it remains open which spatial distribution of activity is sufficient to encode whether a stimulus is perceived as painful or not. In this study, we analyzed fMRI data from a perceptual decision-making task in which participants were exposed to near-threshold laser pulses. Using multivariate analyses on different spatial scales, we investigated the predictive capacity of fMRI data for decoding whether a stimulus had been perceived as painful. Our analysis yielded a rank order of brain regions: during pain anticipation, activity in the periaqueductal gray (PAG) and orbitofrontal cortex (OFC) afforded the most accurate trial-by-trial discrimination between painful and non-painful experiences; whereas during the actual stimulation, primary and secondary somatosensory cortex, anterior insula, dorsolateral and ventrolateral prefrontal cortex, and OFC were most discriminative. The most accurate prediction of pain perception from the stimulation period, however, was enabled by the combined activity in pain regions commonly referred to as the 'pain matrix'. Our results demonstrate that the neural representation of (near-threshold) pain is spatially distributed and can be best described at an intermediate spatial scale. In addition to its utility in establishing structure-function mappings, our approach affords trial-by-trial predictions and thus represents a step towards the goal of establishing an objective neuronal marker of pain perception.
AB - Pain is known to comprise sensory, cognitive, and affective aspects. Despite numerous previous fMRI studies, however, it remains open which spatial distribution of activity is sufficient to encode whether a stimulus is perceived as painful or not. In this study, we analyzed fMRI data from a perceptual decision-making task in which participants were exposed to near-threshold laser pulses. Using multivariate analyses on different spatial scales, we investigated the predictive capacity of fMRI data for decoding whether a stimulus had been perceived as painful. Our analysis yielded a rank order of brain regions: during pain anticipation, activity in the periaqueductal gray (PAG) and orbitofrontal cortex (OFC) afforded the most accurate trial-by-trial discrimination between painful and non-painful experiences; whereas during the actual stimulation, primary and secondary somatosensory cortex, anterior insula, dorsolateral and ventrolateral prefrontal cortex, and OFC were most discriminative. The most accurate prediction of pain perception from the stimulation period, however, was enabled by the combined activity in pain regions commonly referred to as the 'pain matrix'. Our results demonstrate that the neural representation of (near-threshold) pain is spatially distributed and can be best described at an intermediate spatial scale. In addition to its utility in establishing structure-function mappings, our approach affords trial-by-trial predictions and thus represents a step towards the goal of establishing an objective neuronal marker of pain perception.
KW - Adult
KW - Humans
KW - Male
KW - Female
KW - Young Adult
KW - Magnetic Resonance Imaging
KW - Brain/physiology
KW - Image Interpretation, Computer-Assisted/methods
KW - Brain Mapping/methods
KW - Pain Perception/physiology
KW - Adult
KW - Humans
KW - Male
KW - Female
KW - Young Adult
KW - Magnetic Resonance Imaging
KW - Brain/physiology
KW - Image Interpretation, Computer-Assisted/methods
KW - Brain Mapping/methods
KW - Pain Perception/physiology
M3 - SCORING: Journal article
VL - 63
SP - 1162
EP - 1170
JO - NEUROIMAGE
JF - NEUROIMAGE
SN - 1053-8119
IS - 3
M1 - 3
ER -